- Shanghai, China
- https://avnpc.com
Stars
An enterprise-class UI design language and React UI library
A utility-first CSS framework for rapid UI development.
Fast and test-driven distributed 64-bit ID generation, using pure JavaScript, for Node.js.
Distributed id generation for the lazy.
A high-level browser automation library.
一个轻量且功能全面的中文分词器,帮助学生了解分词器的工作原理。MicroTokenizer: A lightweight Chinese tokenizer designed for educational and research purposes. Provides a practical, hands-on approach to understanding NLP concepts,…
Manipulate audio with a simple and easy high level interface
ESM-powered frontend build tool. Instant, lightweight, unbundled development. ✌️
A Japanese NLP Library using spaCy as framework based on Universal Dependencies
💫 Industrial-strength Natural Language Processing (NLP) in Python
VasSonic is a lightweight and high-performance Hybrid framework developed by tencent VAS team, which is intended to speed up the first screen of websites working on Android and iOS platform.
各种真机远程调试方法汇总——“真机远程调试”(remote inspect web on real device),是指用桌面电脑(PC或MAC)远程连接上移动设备,通过类似Chrome浏览器开发人员工具的界面,来调试移动设备上运行的网页
A modular and extensible networking stack which solves many challenges of peer-to-peer applications.
AutoBleem - Alternative to BleemSync/BootMenu, C++ based, GameScanner and Updater for Playstation Classic
Simple HTML5 drag-drop zone with React.js.
A tool for converting dictionary files aka glossaries. Mainly to help use our offline glossaries in any Open Source dictionary we like on any operating system / device.
Python version of Sudachi, a Japanese tokenizer.
SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effortless horizontal scaling.
Converting EPWING dictionaries into something you can actually use (mobi)
Sane data exporter for an insane dictionary format.
📤uPic is a native, powerful, beautiful and simple picture and file upload tool for macOS.
State-of-the-art 2D and 3D Face Analysis Project
MOVED to https://tech.datopian.com/datahub/ - Technical Documentation for DataHub software
Re-implementation of TensorFlow in pure python, with an emphasis on code understandability